Especially I loved Chapter 9 Optimizing Data Access, 11 Beyond Data Access-Join Optimization and 12 Optimizing the Physical Design. The last two chapters has important performance tips for the Oracle database application developers, for example column retrieval cost in CBO calculation and the following example on best practices in datatype selection are in my opinion some of the most simple and discarded ones. Below example on the NUMEBR dataype shows how the same value may have different scales and since the main datatype used to store floating-point numbers and integers is NUMBER with Oracle database applications this kind of tips are really important to be aware of.

Additionally related to the NUMBER datatype, it is mentioned not to be efficient when supporting number-crunching loads and as of 10g two new datatypes are available, BINARY_FLOAT and BINARY_DOUBLE which implement the IEEE 754 standard so a CPU can directly process them and they are fixed-length. Please check Binary_double vs. Number in compute intensive processes post for an example how this decision may affect the performance.

So if you also find yourself requested tuning of applications on production databases again and again like me, I strongly believe that it will be a very wise action in long term to let the Oracle database application developers around you to know about this book and make sure they read and understand the last two chapters so that they can be aware of the different datatypes, table types and index types options with Oracle database during the design and implementation of their database applications.